Evidence map›Paper›PMID 40822353›Full record

ArticleiScience2025

Placental epigenetic clocks derived from crowdsourcing: Implications for the study of accelerated aging in obstetrics.

Gaurav Bhatti, Herdiantri Sufriyana, Roberto Romero, Tushar Patel, Fasil Tekola-Ayele, Ibrahim Alsaggaf, Nardhy Gomez-Lopez, Emily C Y Su, Bogdan Done, Steve Hoffmann and 11 more

Erratum issuedAbstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Late-Onset Preeclampsia is characterised by Accelerated Placental Aging.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Gaurav BhattiCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI 48202, USA.
Herdiantri SufriyanaInstitute of Biomedical Informatics, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan.
Roberto RomeroPregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD 20892, USA.
Tushar PatelLeibniz Institute on Aging - Fritz Lipmann Institute, 07745 Jena, Germany.
Fasil Tekola-AyeleDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
Ibrahim AlsaggafSchool of Computing and Mathematical Sciences, Birkbeck, University of London, London WC1E 7HX, UK.
Nardhy Gomez-LopezCenter for Reproductive Health Sciences, Department of Obstetrics and Gynecology & Department of Pathology and Immunology, Washington University, St. Louis, MO 63110, USA.
Emily C Y SuInstitute of Biomedical Informatics, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan.
Bogdan DoneDepartment of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA.
Steve HoffmannLeibniz Institute on Aging - Fritz Lipmann Institute, 07745 Jena, Germany.
Alena van BömmelLeibniz Institute on Aging - Fritz Lipmann Institute, 07745 Jena, Germany.
Cen WanSchool of Computing and Mathematical Sciences, Birkbeck, University of London, London WC1E 7HX, UK.
Jake AlbrechtSage Bionetworks, Seattle, WA 98121, USA.
Charles NovakRay and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
DREAM Placenta Clock Challenge Consortium
Tinnakorn ChaiworapongsaDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Marina SirotaBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA 94143, USA.
Nima AghaeepourDepartment of Medicine, Stanford University, Palo Alto, CA 94304, USA.
Gustavo StolovitzkyDepartment of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA.
David R BryantDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Adi L TarcaCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI 48202, USA.

Funding

Machine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2M
T Cells and IL-9 Signaling at the Maternal-Fetal Interface in Preterm Labor and BirthR01AI184481 · NIAID · WASHINGTON UNIVERSITY · PI Nardhy Gomez-Lopez · 2024 to 2026
$1.7M
NIAID NIH HHS R01 AI184481NICHD NIH HHS HHSN275201300006CNIGMS NIH HHS R35 GM138353
6 · The paper itself

Abstract

Epigenetic gestational age acceleration has been implicated in obstetric syndromes including preeclampsia, yet robust conclusions require accurate and unbiased epigenetic age models. Herein, we curated 1,842 public placental methylomes and organized a DREAM challenge to develop models of gestational age. Participants were blinded to the test data that we generated from 384 placentas encompassing normal and complicated pregnancies. Models developed during and post-challenge compared favorably to existing models in terms of accuracy, yet they were better calibrated throughout gestation and indicated that reports of accelerated epigenetic aging in preterm preeclampsia were likely due to modeling artifacts. The models show that accelerated aging is associated with a decrease in birthweight percentiles in male neonates delivered at term. By contrast, preterm accelerated aging was protective against delivery of a small-for-gestational-age neonate regardless of fetal sex. This work informs our understanding of the fetal sex-dimorphic role of the placenta epigenome in obstetrics.

Indexed as

EpigeneticsPregnancy

Identifiers

PMID40822353
PMCPMC12356336

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.